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To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting - and lucrative! - careers in some of today’s hottest programming fields about the technology.

El articulo analizado nos relaciona directamente todo lo que hemos visto con respecto a la administración del conocimiento y su vinculación con la Norma ISO 9001:2015 (Sistemas de gestión de calidad) siendo más específicos con los 7 principios que guían el proceso de calidad: Enfoque en el cliente, liderazgo, compromiso de la gente, enfoque de procesos, mejora continua, decisión basada en evidencia, gestión de relaciones".

GANs in Action teaches you how to build and train your own Generative Adversarial Networks, one of the most important innovations in deep learning. In this book, you'll learn how to start building your own simple adversarial system as you explore the foundation of GAN architecture: the generator and discriminator networks.

Information architecture (IA) is far more challenging - and necessary - than ever. To guide you through this broad ecosystem, this popular guide - now in its fourth edition - provides essential concepts, methods, and techniques for digital design that have withstood the test of time. UX designers, product managers, developers, and anyone involved in digital design will learn how to create semantic structures that will help people engage with your message.

Objects are the central concept of languages like Java, Python, and C#. Applying the best practices for object design means that your code will be easy to read, write, and maintain. Object Design Style Guide captures dozens of techniques for creating pro-quality OO code that can stand the test of time.

Microservices Security in Action is filled with solutions, teaching best practices for throttling and monitoring, access control, and microservice-to-microservice communications. Along the way, authors and software security experts Prabath Siriwardena and Nuwan Dias shine a light on important concepts like throttling, analytics gathering, access control at the API gateway, and microservice-to-microservice communication.

Professional developers know the many benefits of writing application code that’s clean, well-organized, and easy to maintain. By learning and following established patterns and best practices, you can take your code and your career to a new level. With Practices of the Python Pro, you’ll learn to design professional-level, clean, easily maintainable software at scale using the incredibly popular programming language, Python.

Unit Testing Principles, Patterns and Practices shows you how to refine your existing unit tests by implementing modern best practices. You’ll learn to spot which tests are performing, which need refactoring, and which need to be deleted entirely! Upgrade your testing suite with new testing styles, good patterns, and reliable automated testing.

The only way to master a skill is to practice. In Python Workout, author Reuven M. Lerner guides you through 50 carefully selected exercises that invite you to flex your programming muscles. As you take on each new challenge, you'll build programming skill and confidence. The thorough explanations help you lock in what you've learned and apply it to your own projects.

En Aprende a programar en Python para principiantes, Flynn Fisher comienza desde cero. Él te enseñará los fundamentos de la codificación con Python y te ayudará a establecer los componentes básicos de tus futuras habilidades de programación. Este libro está hecho de manera que cada capítulo se base en los demás.

Developers and programmers are amongst the highest paid professions in the world, and according to the US Bureau of Labor Statistics, the number of jobs for software and app developers will increase by a shocking 24 percent in the next few years. In 2019, the tech industry posted 4.6 million job openings in the US job market, and their direct economic output was estimated at 1.9 trillion dollars.

JavaScript is among the most widely used computer programming languages in the world. It has been in the computer programming field for well over 40 years, and it is known as a high level language due to the competence it has established in the programming field. JavaScript is used by various software companies in the world, so much so that many computer operations will not work without it. So, it’s a great idea to try using it, too.

The most successful programs of the last 30 years were developed in C++. From Microsoft Word to Facebook to Adobe Photoshop, C++ is at the heart of the most lucrative technologies in today’s world. C++ is the most powerful programming language in the modern world for one simple reason: It allows for complete control, not only of the program’s logic and graphical user interface, but of the hardware, too.

Are you looking to expand your skill set to increase your value in the job market? If you have a knack for problem-solving, coding can be a rewarding and fun skill to learn. Coding is one of the most in-demand skills that employers are looking for, and they are willing to pay for it. Monster.com, a popular job search site, reports that jobs requiring coding skills pay an average of $22,000 more per year, compared to other noncoding jobs.

Linux is quite synonymous with the cloud. If you intend to work on cloud-based projects, it is always good to learn Linux, especially the essentials. SQL is one of the most famous database query languages that have taken over almost three-fourths of the internet. Learning SQL is a must for any developer nowadays, and with the help of a good book, one can understand the basics very well.

Python programming has become a must-learn skill in the data science domain. It has evolved as the most preferred programming language for data-driven development because it is suitable for many data science tasks and is easy to learn compared to other programming languages. In short, Python is the closest programming language to fit the goal of a beginner and a great starting place.

Python is a powerful programming language, serving a large number of purposes. It is a free and open-source programming language, and it is a very good programming language for beginners, especially for those who are interested to learn computer programming for the very first time. With the help of Python, data manipulation, data visualization, as well as data analysis becomes very simple.

Have you always been interested in the world of programming? If you want to learn the programming languages for beginners or the professional hacking techniques, then this is the perfect audiobook for you. This audiobook includes: SQL Computer Programming for Beginners, Python for Beginners, Kali Linux and Hacking with Kali Linux.

Data are no longer just information but a resource that is growing exponentially. There are many powerful ways to store and manipulate data and there are many helpful data science tools that you can use to begin conducting your own analyses. If you are willing to understand more, this audiobook is a crash course on data science.

Do you need to learn how to use SQL in order to properly manage a database? Do you want to learn SQL programming without complicated explanations? SQL for Beginners: A Step by Step Guide to Learn SQL Programming and Database Management Systems is an easy to digest and fast-paced guide to learning Structured Query Language (SQL), which is the industry standard programming language for defining and analyzing data in databases. The audiobook will focus on how to use SQL in order to process your data and find out what it means.